A hybrid approach to classify power quality problems in distribution systems
Joint Authors
Ozgonenel, Okan
Akpinar, Kubra Nur
Source
Journal of Engineering Research
Issue
Vol. 10, Issue 4 Aِ (31 Dec. 2022), pp.219-233, 15 p.
Publisher
Kuwait University Academic Publication Council
Publication Date
2022-12-31
Country of Publication
Kuwait
No. of Pages
15
Main Subjects
Abstract EN
Electrical power systems are expected to transmit continuously nominal rated sinusoidal voltage and current to consumers.
However, the widespread use of power electronics has brought power quality problems.
This study performs classification of power quality disturbances using an artificial neural network (ANN).
The most appropriate ANN structure was determined using the Box-Behnken experimental design method.
Nine types of disturbance (no fault, voltage sag, voltage, swell, flicker, harmonics, transient, DC component, electromagnetic interference, and instant interruption) were investigated in computer simulations.
The feature vectors used in the identification of the different types of disturbances were produced using the discrete wavelet transform and principal component analysis.
Our results show that the optimized feed forward multilayer ANN structure successfully distinguishes power quality disturbances in simulation data and was also able to identify these disturbances in real time data from substations.
American Psychological Association (APA)
Ozgonenel, Okan& Akpinar, Kubra Nur. 2022. A hybrid approach to classify power quality problems in distribution systems. Journal of Engineering Research،Vol. 10, no. 4 Aِ, pp.219-233.
https://search.emarefa.net/detail/BIM-1494573
Modern Language Association (MLA)
Ozgonenel, Okan& Akpinar, Kubra Nur. A hybrid approach to classify power quality problems in distribution systems. Journal of Engineering Research Vol. 10, no. 4 A (Dec. 2022), pp.219-233.
https://search.emarefa.net/detail/BIM-1494573
American Medical Association (AMA)
Ozgonenel, Okan& Akpinar, Kubra Nur. A hybrid approach to classify power quality problems in distribution systems. Journal of Engineering Research. 2022. Vol. 10, no. 4 Aِ, pp.219-233.
https://search.emarefa.net/detail/BIM-1494573
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 232-233
Record ID
BIM-1494573